M.Sc. Johannes Teutsch

Technical University of Munich
Theresienstraße 90
80333 München
Room: 0105.02.507

Tel: +49 (89) 289 - 23404
Email: johannes.teutsch@tum.de

Research Interests

  • Data-Driven & Learning-Based Control
  • Robust & Stochastic Model Predictive Control (MPC)

Data-driven Predictive Control of Uncertain Systems

Constraints on system variables, environmental uncertainties, and inexact system knowledge are a few factors that must be considered when designing safe controllers. Here, we develop efficient data-driven predictive controllers for uncertain systems with guarantees of constraint satisfaction and stability in closed-loop.

Short Biography

Since 11/2021

Research Associate / PhD Candidate

Chair of Automatic Control Engineering

Technical University Munich (TUM)

10/2019 – 10/2021

Master of Science, Electrical Engineering and Information Technology

Focus: Control Theory, Automation, Machine Learning

Technical University Munich (TUM)

10/2016 – 07/2019

Bachelor of Science, Electrical Engineering and Information Technology

Focus: Control Theory, Circuit Theory

Technical University Munich (TUM)

PUBLICATIONS

2023

  • Kerz, Sebastian; Teutsch, Johannes; Brüdigam, Tim; Leibold, Marion; Wollherr, Dirk: Data-Driven Tube-Based Stochastic Predictive Control. IEEE Open Journal of Control Systems , 2023 more…
  • Teutsch, Johannes; Ellmaier, Sebastian; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: An Online Adaptation Strategy for Direct Data-driven Control. IFAC World Congress 2023, 2023, 6 more…
  • Teutsch, Johannes; Kerz, Sebastian; Brüdigam, Tim; Wollherr, Dirk; Leibold, Marion: Offline Uncertainty Sampling in Data-driven Stochastic MPC. IFAC World Congress 2023, 2023, 7 more…

2021

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion; Buss, Martin: Probabilistic Model Predictive Control for Extended Prediction Horizons. at - Automatisierungstechnik 69 (9), 2021, 759-770 more…

2020

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion: Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. 21st IFAC World Congress, 2020 more…